Artificial Intelligence Engineer

2 weeks ago

Gurgaon, Haryana, India LENS Corporation Full time

About Us

LENS Corporation is a growing deep-tech startup working in 
AI, Computer Vision, and Cloud-native solutions
. We design and deploy high-performance biometric and AI-driven systems for enterprises and government clients. This role offers a chance to work hands-on with 
cutting-edge biometric technologies
 — from face and iris recognition to liveness detection and multimodal AI — and bring them into production at scale.

Role Overview

We are seeking an 
AI Research Engineer (Biometrics)
 with 4
+ years of strong industry experience
 in deep learning and computer vision, specifically applied to 
biometric recognition systems
. The ideal candidate will have a proven track record of developing, optimizing, and deploying AI models into real-world production environments.

Key Responsibilities

  • Lead the research, design, and implementation of algorithms for 
    biometric recognition
     (face, fingerprint, iris, gait, multimodal).
  • Develop and optimize 
    deep learning models
     (CNNs, transformers, Siamese/Triplet networks) for biometric verification and large-scale identity matching.
  • Implement 
    liveness detection and anti-spoofing solutions
     (PAD techniques) for high-security use cases.
  • Evaluate biometric systems using 
    FAR, FRR, EER, ROC/DET curves
    , and benchmark against NIST/ISO standards.
  • Drive 
    model optimization for real-time inference and edge deployment
     (TensorRT, ONNX, pruning, quantization).
  • Collaborate with engineering teams to integrate biometric AI into products such as 
    VMS, access control, and authentication systems
    .
  • Stay ahead of research trends in 
    biometric AI, generative adversarial techniques, and privacy-preserving AI
    .

Requirements

  • Bachelor's/Master's degree in Computer Science, AI/ML, or related fields (Ph.D. a plus).
  • 4+ years of professional experience
     in AI/ML development with a focus on 
    biometrics and computer vision
    .
  • Expertise in 
    Python
     and frameworks such as 
    PyTorch/TensorFlow/Keras
    .
  • Strong knowledge of 
    embedding-based recognition systems
     (ArcFace, CosFace, SphereFace, etc.) and metric learning.
  • Hands-on with 
    OpenCV/DLib
     and classical computer vision fundamentals.
  • Proven experience deploying AI models in production (Docker, Kubernetes, REST APIs, cloud).
  • Strong grasp of 
    data privacy, encryption, and secure biometric handling
    .
  • Preferred
  • Publications in biometrics/AI/CV conferences (IJCB, ICB, CVPR, ICCV, ECCV, NeurIPS).
  • Familiarity with 
    biometric compliance standards
     (ISO/IEC 19794, NIST FRVT, FIDO).
  • Experience training models on 
    large-scale datasets
     with distributed systems.
  • Exposure to 
    GPU acceleration (CUDA, TensorRT, OpenCL)
    .

What We Offer

  • Competitive compensation package.
  • Opportunities to work on 
    high-impact national-scale biometric projects
    .
  • Direct ownership of projects with visible outcomes.
  • A collaborative, fast-paced environment at the intersection of 
    research and deployment
    .

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